49 results about "Standard operating procedure" patented technology

The present invention discloses an artificial intelligence-based (AI-based) system and method for generating optimised operation planning and scheduling output. The AI-based system obtains at least one of: one or more data explanation videos, one or more process understanding videos, and unconstrained operational planning data, along with one or more prompts as an input. The AI-based system extracts one or more informative image frames and audio data, to train the one or more AI models and generate a planning standard operating procedure (SOP). The AI-based system processes the planning SOP, the constrained operational planning data, and the one or more prompts to generate the optimised operation planning and scheduling output based on an optimised function with a continuous feedback loop in response to at least one of: the one or more prompts, updated planning SOP, and real-time changes in the constrained operational planning data.

The embodiment of the invention discloses an evaluation model training method. According to the method, a standard operation program text is disassembled into function points, then each function point is realized in a code mode and in a mode of calling a large model, the two realization modes are tested by utilizing test data, and applicability indexes of the two realization modes to the function points are determined based on test results. And utilizing the applicability index data to train an evaluation model which can quantitatively judge whether the function point is suitable for being realized by using a code or a large model according to the description of the function point. The evaluation model training device and the data processing method and device provided by the embodiment of the specification also have the above beneficial effects.

Enterprises need assurance that their internal documents like policies, procedures, controls, standard operating procedures (SOPS) are adherent to the regulatory obligations. In conventional practice this requires a manual effort where legal, business and IT experts collaborate for assuring completeness and consistency in enterprise documents with respect to regulatory obligations, thereby establishing regulatory hygiene. Governance risk and compliance (GRC) frameworks help experts with collaboration but do not provide automation aids necessary to reduce the analysis and synthesis burden. Present disclosure provides system and method for determining hygiene in the plurality of enterprise documents with respect to the plurality of regulatory obligations by extracting concept ontology models from multiple enterprise documents and multiple regulations and enabling navigation across multiple documents via the ontology. The system further reasons out how this form of navigation or creating a common navigable ontology enables establishing hygiene in enterprise documents with respect to regulatory obligations.

The invention discloses a complex man-machine cooperation station operation compliance sequential logic verification method and system based on a multi-modal video, and the method comprises the steps: obtaining a standard operation instruction (SOP), analyzing the SOP, and converting the SOP into a formal model with sequential logic constraints; synchronously acquiring a video data stream, an audio data stream and an equipment data stream of the station; performing real-time analysis on the video data stream by using a human-object interaction (HOI) deep learning model to generate structured visual event metadata; taking the visual event metadata as input, and driving the formalized model to carry out state evolution so as to judge the compliance of an operation process; and performing fusion cross validation on the audio data stream and the equipment data stream at a preset key verification node by taking the time window of the occurrence of the visual event as a reference. By fusing fine-grained visual interaction recognition, strict sequential logical reasoning and multi-modal cross validation, high-reliability closed-loop verification can be carried out on operational process compliance and physical result authenticity.

1. The name of the design product: the editing task graphical user interface of electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: change state diagram 3. 5. The use of the graphical user interface: for editing tasks in SOP (standard operating procedure) management. 6. The change state description of the graphical user interface: click on the right side "edit" in the main view to enter change state diagram 1; the system automatically enters change state diagram 2 in change state diagram 1 to identify risks; click on the right side "add dependent rule" in change state diagram 2 to enter change state diagram 3, and a dependent rule pop-up box pops up; click on "confirm" in the pop-up box in change state diagram 3 to enter change state diagram 4, and the duplicate check result is displayed.

This invention discloses an intelligent processing system and method based on laboratory process standardization, belonging to the field of intelligent processing technology. The system includes a change clause extraction module, a core change identification module, an equivalent node mapping module, and a historical data adaptation module. The method obtains the old and new versions of standard operating procedures, compares and extracts target change clauses, divides core and non-core change clauses and constructs a version difference chain, establishes equivalent node mapping relationships for core change nodes, and converts old process nodes and processes historical experimental data based on these relationships to reconstruct historical experimental processes adapted to the new version of the procedures. This invention solves the problems of low efficiency, easy omissions, and difficulty in adapting complex nodes in manual processing, improves the level of process standardization automation and data adaptation accuracy, and ensures the traceability of experimental results.

The invention discloses a micro-service system defect root cause positioning and SOP automatic generation method based on multi-agent collaboration. The method comprises the steps that S1, a micro-service system is built, and marking defects are injected; s2, generating a standard operation process SOP for defect investigation based on an LLM-driven multi-agent cooperation mechanism; s3, root cause positioning is executed according to the generated SOP, an executable diagnosis code is generated by LLM and automatically runs, and an abnormal propagation path and a trigger mechanism are identified by executing feedback; s4, based on a root cause positioning result, generating a repair demand description and an executable repair command by the LLM, and executing the repair command; and S5, verifying a repair result, updating the knowledge base according to a repair execution condition, and using successful and failed troubleshooting and repair processes as sample precipitates for system self-learning and optimization. According to the method, automatic generation of a troubleshooting process, root cause positioning and closed-loop automation of repair suggestion generation can be realized under a complex micro-service system, and the diagnosis efficiency and accuracy are remarkably improved.

Disclosed in the present application is an application management method. The method comprises: an interaction apparatus receiving a user query; an agent routing and orchestration apparatus identifying, on the basis of the query, an agent requested by a user in the query, and when no agent is requested in the query, retrieving a target agent matching the query, assigning tasks to the target agent, and determining an execution order or a dependency relationship of the tasks; the agent routing and orchestration apparatus generating a standard operating procedure (SOP) by means of a language model on the basis of the execution order or dependency relationship of the tasks and the target agent; and an agent execution apparatus loading the target agent on the basis of the SOP, and executing an operation node in the target agent to obtain a response. By means of the method, intent recognition can be performed on a user query, a target agent matching the query is retrieved, tasks are assigned to the target agent, and static or dynamic SOPs can be generated by means of task orchestration, thereby meeting diverse business requirements and complex business environments, and thus the method has higher flexibility and adaptability.

This application discloses a method and related equipment for detecting equipment operation compliance. By retrieving the equipment reservation work order and corresponding standard operating procedure (SOP) file, a work order operation compliance benchmark is constructed, including standard operating positions, standard operating sequences, and standard operating attributes. By acquiring time-series infrared thermal images of the equipment operating area, transient temperature imprints generated by the operator's contact with the equipment are detected and located, achieving precise determination of the operating position and time. By extracting physical characteristics of the transient temperature imprints over time, such as temperature peak value, heating rate, cooling rate, temperature distribution pattern, and duration, quantitative operating attributes such as operating duration, pressure intensity, type of operating medium, and direction of operating action are derived based on the mapping relationship between these characteristics and operating behavior. By comparing the actual operating information with the work order operation compliance benchmark item by item, the method identifies and alerts users to equipment operation violations, achieving accurate, comprehensive, and efficient equipment operation compliance detection.

The invention provides a method and a system for identifying normalization of a vehicle lamp assembly process through a perception model, and relates to the technical field of industrial automatic detection. According to the method, a region of interest and an operation step sequence are configured according to a standard operation program, a real-time operation picture is accessed, ROI selection, brightness judgment, feature matching, multi-frame data fusion and other operations are performed in sequence, and the normalization of each step and the overall process is judged. The key technology of the method comprises a unitized operation state perception and sequence verification mechanism based on dynamic region configuration, AI perception and process decoupling design oriented to part state recognition, and a robustness perception result verification mechanism fused with multi-modal information. According to the invention, manual supervision is not needed, and automatic detection and alarm can be realized; decoupling the AI model and the process to realize cross-process multiplexing; interference is eliminated through multi-modal verification, the recognition accuracy is remarkably improved, and the automobile lamp assembly quality and production efficiency are effectively guaranteed.

This application belongs to the field of battery technology and discloses a testing method and apparatus for Standard Operating Procedure (SOP). The method includes: a Battery Management System (BMS) controller receiving test environment parameters from a VT system cabinet; a host computer sending a command to the BMS controller to close a high-voltage relay, and the BMS controller inputting a high-level signal to the relay; according to a timer of preset duration, the BMS controller acquiring the current battery cell temperature sequence, current State of Charge (SOC), and current State of Harshness (SOH) within the preset duration; based on the current battery cell temperature sequence, current SOC, current SOH, and a pre-stored power table corresponding to SOC and battery cell temperature, the BMS controller determining the current BMS lookup power; the BMS controller acquiring the current BMS actual power, and based on the current BMS lookup power and the current BMS actual power, determining whether the current BMS actual power is qualified; if qualified, the current BMS actual power is taken as the SOP. Using this application can improve the accuracy of SOP testing.

The application discloses an event-driven standard operation procedure configuration method, characterized in that the method comprises the following steps: a standard operation procedure system acquires the standard demand of a business system on a business operation procedure; a standard operation procedure task of the business system is generated; the execution of the standard operation procedure task of the business system is followed; the business operation behavior in the business system is listened to, and business data is acquired; whether the business data and the required business data are consistent is compared, and the step execution condition of the standard operation procedure task is judged; after all the steps involved in the standard operation procedure task are executed and end, the execution completion of the standard operation procedure task of the business system is notified. The method can reduce the docking difficulty of the standard operation procedure system and the business system, reduce the customized research and development cost, dynamically generate an operation task according to a business scene, and automatically update the task state according to the behavior operation of an operation personnel, and has the effect.

A system and method for validating aviation regulatory compliance is disclosed. The system employs a method using AI to check aviation document compliance with regulations. It parses documents locally, compares semantically via hybrid AI, identifies gaps, offers remediation options from original texts, updates scores, and generates reports, ensuring efficiency and privacy.

A method of generating, at an IIOT device mounted to equipment of a drilling system, a relay variable, a measurement variable, or a control variable and a message having an IP address. Classifying, by application services of a cloud service provider, the relay variable, the measurement variable, or the control variable; identifying a category or a category and sub-category from a plurality of categories and sub-categories based on variable; cataloguing the relay variable, the measurement variable, or the control variable based on the category or the category and the sub-category; selecting from a library of catalogued relay variables, measurement variables, and control variables, at least one selected from a group comprising a parameter and a value; and identifying a pattern using a statistics based algorithm, the statistics based algorithm using a standard operating procedure, the parameter and the value, the pattern indicating a deviation in the standard operating procedure.

The invention discloses a virtual training system and method for coal mine safety monitoring operation, and belongs to the technical field of coal mine safety training. The system comprises a real object operation test and training device, a computer and virtual training software. The software comprises a virtual training scene construction module, a monitoring data acquisition module, a theoretical training module, a real object operation training module and an intelligent evaluation module. According to the invention, multi-dimensional real-time operation data of a student on a real object device is collected, a dynamic time warping algorithm is introduced, an operation time sequence of the student is compared with a standard operation flow sequence to quantify operation normalization, and automatic, precise and intelligent evaluation of practical operation skills is realized in combination with a weighted scoring model. According to the method, the whole business process from equipment installation, sensor calibration to troubleshooting can be completely simulated, the technical problems that an existing training mode breaks away from reality, evaluation means are backward, and operation problems cannot be accurately positioned are effectively solved, and the effectiveness and scientificity of training are improved.

The invention discloses an application management method. The method comprises the steps that an interaction device receives a query of a user; the agent routing arrangement device identifies an agent requested to be queried by a user according to the query, retrieves a target agent matched with the query when querying an unrequested agent, then allocates a task for the target agent, and determines an execution sequence or a dependency relationship of the task; the agent routing arrangement device generates a standard operation program (SOP) through a language model according to the execution sequence or dependency relationship of the tasks and the target agent; and the agent execution device loads the target agent according to the standard operation program, executes the operation node in the target agent, and obtains an answer. According to the method, intention recognition can be carried out on the query of the user, the target agent matched with the query can be retrieved, the task can be allocated to the target agent, a static or dynamic SOP can be generated through task arrangement, diversified service requirements and a complex service environment can be met, and high flexibility and adaptability are achieved.

A method (100) for generating and / or expanding a computer implementation protocol (4) for at least one standard operating procedure (SOP) (2) in an industrial plant (1), comprising the steps of: providing (110) at least one SOP (2) of the plant (1), the SOP (1) comprising multiple steps (2a-2g); providing (120) measurement data (3) which has been acquired during multiple implementations of at least one SOP (2) and indicating actions to be performed in the plant (1) to modify the state of the plant (1) or any part thereof for the purpose of implementing the SOP (2). State and / or behavior; • For each step (2a-2g) of SOP (2), determine (130) a subset (3a-3g) of measurement data (2) based on measurement data (3), the subset indicating the action to be performed for that particular step (2a-2g) of SOP; and • aggregate (140) the subset (3a-3g) of measurement data (3) determined for each step (2a-2g) of SOP (2) into at least one instruction (4a-4g) for performing that particular step (2a-2g) of SOP, wherein the instruction (4a-4g) is part of the sought protocol (4).

The invention provides a task plan generation method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining an initial task plan output by a neural network model; determining a supplement step based on the initial task plan and a pre-established standard operation program dependency graph; the supplementary steps are added into the initial task plan, a target task plan is obtained, a reliable basis is provided for judging whether the initial task plan is complete or not through a pre-established standard operation program dependency graph, the initial task plan is compared with the graph, the omitted supplementary steps can be accurately recognized and added in time, and the task plan is more complete. The generated target task plan can reflect actual business requirements more accurately, so that the task plan generated by the autonomous agent is more reasonable and feasible, and the success rate of task execution is improved.

The application provides a control method of device operation and a control method of micro-nano processing laboratory device operation, generates a device operation instruction template through user authority, sample processing reservation information uploaded by the user and a standard operation procedure file corresponding to different sample processing steps of the device, generates corresponding device operation to-be-confirmed information for non-standard decision-making links or manual review links in the device operation instruction template that need to be processed by the user, adjusts the device operation instruction template in combination with specific instructions returned by the user, disassembles the device operation instruction template into a plurality of device operation instructions according to the device operation instruction template adjusted by the user, and inputs the device operation instructions into a flow automatic processing module, so as to shorten the learning time of the user for the complex operation device, meanwhile, the non-standard decision-making links, the manual review links and the parameter adjustment links are reserved for specific users or sample processing, so as to form interaction with the user, guarantee efficient key-in of complex operation page data of the large device, and meanwhile, the freedom of user operation is reserved.

An annotation support device, annotation support method, and program for efficiently creating high-quality training data for AI learning are provided. [Solution] The annotation support device of the present invention provides centralized support for annotation work management by comprising a recording unit that records project information, work target data, worker information, and annotation results, an output unit that outputs specifications and standard operating procedures, an execution unit that automatically evaluates the quality of workers' work and determines whether the work can be completed, an allocation unit that automatically allocates appropriate data to workers, and an output unit that aggregates and visualizes progress and quality. This reduces the labor required for complex management work in large-scale annotation projects, suppresses variations in work quality, and enables efficient and highly accurate data creation.

The invention discloses an intelligent processing system and method based on laboratory process standardization, and relates to the technical field of intelligent processing. The system comprises a change clause extraction module, a core change identification module, an equivalent node mapping module and a historical data adaptation module. According to the method, new and old version standard operation regulations are obtained, target change terms are compared and extracted, core and non-core change terms are divided, a version difference chain is constructed, an equivalent node mapping relation is established for core change nodes, old version process nodes are converted according to the relation, and historical experiment data are processed. And reconstructing a historical experiment process adaptive to the new-version regulation. According to the method, the problems of low manual processing efficiency, easiness in omission and difficulty in corresponding adaptation of complex nodes are solved, the process standardization automation level and the data adaptation accuracy are improved, and the traceability of experimental results is guaranteed.

Various embodiments of the teachings herein include a method for evaluating a work task. An example includes: acquiring point cloud data of a workpiece in a work task and a three-dimensional image frame of a worker in the task; recognizing attribute information of the workpiece in a machine vision manner based on the data; recognizing action information of the worker in a deep learning manner based on the image frame; comparing combination information of the attribute information and the action information with a standard operating procedure of the work task, wherein the standard operating procedure comprising a standard attribute of the workpiece and a standard action of the worker in the work task; and evaluating the work task based on a comparing result.

Embodiments of the present application provide a control method of a single crystal furnace, an electronic device, a storage medium and a program product. The method comprises: collecting real-time running data of a single crystal furnace, and extracting key feature waveforms of an abnormal period of the single crystal furnace; inputting the real-time running data into a preset diagnosis model for abnormality identification; when an abnormal event is identified, performing root cause tracing reasoning through a knowledge graph to locate an abnormal root cause; according to the abnormal root cause, retrieving matched historical measures and / or standard operating procedures from a measure library to generate candidate instructions containing specific parameter adjustment instructions; and simulating and verifying the candidate instructions in a digital simulation model, and if the simulation is passed, executing the candidate instructions, wherein the digital simulation model is used to simulate the running state of the single crystal furnace.

A computer system receives, by an interface agent and via a web user interface, a first user query from a user that defines a request to summarize historical data corresponding to a critical event associated with a plurality of computing incidents. In response to receiving the first user query, the computer system instantiates, by an executing agent, an event report associated with the critical event. The computer system displays the event report to the user. The computer system receives, by the interface agent and via the web user interface, a second user query from the user that defines a request to reduce a mean time to repair (MTTR) for resolving the critical event. In response to receiving the second user query, the computer system instantiates, by the executing agent, an enhanced standard operating procedure (SOP) configured to reduce the MTTR. The computer system displays the enhanced SOP to the user.

The invention discloses a customer request response method and device, equipment and a storage medium, and relates to the field of customer service message management.The method comprises the steps that in response to a customer request of a user side, a corresponding standard operation program is loaded; converting each step of the standard operation program into a corresponding task item, and constructing a task list; and sequentially executing each task item according to the task list until each task item is completed. The client request processing efficiency is improved.

The present disclosure relates to systems and methods for a system lab and SOP framework to support testing based on customer environments. Longevity testing must be run on every build with different test cases; thus, the system lab framework allows this testing to be performed on multiple machines in a single run, also allowing test results to be stored. The system lab framework is adapted to recreate customer issues, allowing different environments typically not accessible to be replicated and tested. The system lab framework includes central code to trigger cases on different machines. A central data collection system is able to collect all of the results from the cases and store the respective data. This system lab framework is adapted to support multiple Operating Systems (OS) including Windows, Mac, Linux, and the like.

Various methods and processes, apparatuses / systems, and media for automated structure retrieval of complex standard operating procedures (SOPs) are disclosed. A processor encodes the SOP as a Directed Acyclic Graph (DAG) to keep track of the dependencies between SOP tasks or steps and retain the sequential aspect of the SOP execution. To be able to support long SOPs, the processor implements a multi-phase approach where the processor first performs a “segmentation” step to break the SOP into task segments which are then transformed into a DAG by calling a structure generation module. The segmentation is utilized recursively to attain a fined-grain decomposition of the SOP to facilitate effective DAG generation.

The invention discloses an industrial exception automatic processing system based on operation instruction matching, and relates to the technical field of industrial exception automatic processing, which comprises a data management module, an exception detection module and a factor analysis and automatic processing module. According to the invention, continuous monitoring of real-time operation data and automatic identification of abnormal states can be realized, after influence factors are accurately extracted, the influence factors are automatically matched with an SOP operation instruction book, the system is guided to carry out next processing according to a standard operation process, operation parameters are dynamically optimized, the system can reduce human intervention frequency, the response speed and the control precision are improved, and the operation efficiency is improved. Therefore, the overall production efficiency and operation stability are improved, and safety and high efficiency of industrial production are guaranteed.

1. The name of the design product: electronic device standard operation procedure management graphical user interface. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 2 front view. 5. Design 2 is designated as the basic design. 6. The use of the graphical user interface: for SOP (standard operation procedure) management, regular SOP management, inspection SOP management, issue SOP management related information can be viewed and edited, queried and other operations; clicking the right "edit" in each design front view can edit the entries in the table.

This invention relates to the field of intelligent manufacturing and production management technology, specifically to an intelligent operation collaborative control method and system. The method includes: acquiring real-time video streams of the work area; calling a pre-trained neural network model to parse the video streams to identify fine-grained behavioral sequences of operators; comparing the identified behavioral sequences with pre-stored standard operating procedures to generate compliance judgment results; and generating and outputting corresponding guidance information to the work area when the judgment result indicates abnormal behavior. Furthermore, the method also includes analyzing behavioral data to generate on-site management optimization suggestions and quantitatively evaluating the effectiveness of the optimization measures. This invention achieves precise real-time monitoring and guidance of the operation process and enables on-site optimization and effect evaluation based on objective data, effectively improving the level of operation standardization, product quality consistency, and overall production efficiency.